Public Member Functions |
Static Public Member Functions |
Protected Attributes |
List of all members
GClasses::GRandomDirectionBinarySearch Class Reference
Detailed Description
This algorithm picks a random direction, then uses binary search to determine how far to step, and repeats.
#include <GHillClimber.h>
Inheritance diagram for GClasses::GRandomDirectionBinarySearch:
Public Member Functions | |
| GRandomDirectionBinarySearch (GTargetFunction *pTargetFunc, GRand *pRand) | |
| virtual | ~GRandomDirectionBinarySearch () |
| virtual const GVec & | currentVector () |
| Returns the best vector yet found. More... | |
| virtual double | iterate () |
| Performs a little more optimization. (Call this in a loop until acceptable results are found.) More... | |
 Public Member Functions inherited from GClasses::GOptimizer | |
| GOptimizer (GTargetFunction *pCritic) | |
| virtual | ~GOptimizer () |
| void | basicTest (double minAccuracy, double warnRange=0.001) |
| This is a helper method used by the unit tests of several model learners. More... | |
| double | searchUntil (size_t nBurnInIterations, size_t nIterations, double dImprovement) |
| This will first call iterate() nBurnInIterations times, then it will repeatedly call iterate() in blocks of nIterations times. If the error heuristic has not improved by the specified ratio after a block of iterations, it will stop. (For example, if the error before the block of iterations was 50, and the error after is 49, then training will stop if dImprovement is > 0.02.) If the error heuristic is not stable, then the value of nIterations should be large. More... | |
Static Public Member Functions | |
| static void | test () |
| Performs unit testing. Throws an exception if any test fails. More... | |
Protected Attributes | |
| GVec | m_current |
| size_t | m_dims |
| GVec | m_direction |
| double | m_err |
| GRand * | m_pRand |
| double | m_stepSize |
| Protected Attributes inherited from GClasses::GOptimizer | |
| GTargetFunction * | m_pCritic |
Constructor & Destructor Documentation
| GClasses::GRandomDirectionBinarySearch::GRandomDirectionBinarySearch | ( | GTargetFunction * | pTargetFunc, |
| GRand * | pRand | ||
| ) |
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Member Function Documentation
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Returns the best vector yet found.
Implements GClasses::GOptimizer.
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Performs a little more optimization. (Call this in a loop until acceptable results are found.)
Implements GClasses::GOptimizer.
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Performs unit testing. Throws an exception if any test fails.
Member Data Documentation
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